A tinyml platform for on-device continual learning with quantized latent replays L Ravaglia, M Rusci, D Nadalini, A Capotondi, F Conti, L Benini IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11 (4 …, 2021 | 60 | 2021 |
Pulp-trainlib: Enabling on-device training for risc-v multi-core mcus through performance-driven autotuning D Nadalini, M Rusci, G Tagliavini, L Ravaglia, L Benini, F Conti International Conference on Embedded Computer Systems, 200-216, 2022 | 17 | 2022 |
Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers D Nadalini, M Rusci, L Benini, F Conti Future Generation Computer Systems 149, 212-226, 2023 | 9 | 2023 |
Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units F Paissan, D Nadalini, M Rusci, A Ancilotto, F Conti, L Benini, E Farella Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |